Pith. sign in

Paper Citation Record · LEDGER

Balanced Meta-Softmax for Long-Tailed Visual Recognition

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2007.10740.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2007.10740 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:30:21.506449Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T12:24:39.854927Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7c942b0b-ddda-480f-8e0a-927b71163dab · inbound

HEM: a margin-based loss for visual categorisation tasks cites this paper.

HEM: a margin-based loss for visual categorisation tasks Balanced Meta-Softmax for Long-Tailed Visual Recognition

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-10T17:30:21.506449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:30:21.506449Z digest=sha256:91f67fc60b9b1fab4dd12fbe86da23b92d01d588654740c2d75ad9744e06266c

Observation 8f149843-50d8-4f93-a100-3b64962b3f62 · inbound

Learning from Limited and Imperfect Data cites this paper.

Learning from Limited and Imperfect Data Balanced Meta-Softmax for Long-Tailed Visual Recognition

Reference 271

Resolution
unresolved
no resolver link, observed 2026-08-06T13:10:15.239182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:10:15.239182Z digest=sha256:33c0cc9ae334787cd48846f3105625d03212eb11666a8ca3f79aed8b315479c0

Observation 2192b503-836e-4bf6-b64a-87b9876e9165 · inbound

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight cites this paper.

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight Balanced Meta-Softmax for Long-Tailed Visual Recognition

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:24:39.856495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T12:17:44.093253Z digest=sha256:bc03d0d46425cabf9543296e21970c6bf2c8fd8c3217d359dcbc7ebafb370a1d